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Internship Edge Ai Machine Learning Jobs in Minnesota

Design, develop, and deploy AI, machine learning, generative AI, and agentic AI solutions that solve domain-specific business challenges * Build and support workflows that extract complex ...

New

Machine Learning Tutor

Edina, MN · Remote

$18 - $40/hr

... Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

... Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

... Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

$139K - $168K/yr

As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and ... Previous software engineering experience via an internship, work experience, or coding competition

$139K - $168K/yr

As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and ... Previous software engineering experience via an internship, work experience, or coding competition

$139K - $168K/yr

As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and ... Previous software engineering experience via an internship, work experience, or coding competition

$139K - $168K/yr

As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and ... Previous software engineering experience via an internship, work experience, or coding competition

Showing results 41-60

Internship Edge Ai Machine Learning information

What is an internship edge AI machine learning?

Internship Edge AI Machine Learning positions are entry-level roles designed for students or recent graduates who want hands-on experience working with artificial intelligence and machine learning technologies, especially those related to 'edge' computing. These internships focus on developing, optimizing, and deploying AI/ML models that run on edge devices such as smartphones, IoT devices, and embedded systems, rather than in the cloud. Interns typically assist in research, data preparation, model training, and software development while gaining industry-relevant skills. These roles are ideal for individuals interested in both hardware and software aspects of AI. The experience gained can be valuable for future careers in data science, machine learning engineering, or AI research.

What are the key skills and qualifications needed to thrive as an internship edge AI machine learning professional, and why are they important?

To thrive in an Internship Edge AI Machine Learning role, you need a solid background in computer science, mathematics, and machine learning concepts, typically supported by coursework or relevant projects. Familiarity with programming languages like Python, machine learning libraries (such as TensorFlow or PyTorch), and cloud or edge computing platforms is highly valuable. Strong analytical thinking, problem-solving abilities, and effective teamwork skills help you adapt and contribute meaningfully in collaborative research and development environments. These competencies are crucial for innovating and deploying machine learning models on edge devices, ensuring impactful real-world AI solutions.

What is the difference between Internship Edge Ai Machine Learning vs Data Analyst?

AspectInternship Edge Ai Machine LearningData Analyst
Required CredentialsRelevant coursework, basic programming skills, possibly some certificationsDegree in statistics, mathematics, or related field; proficiency in data tools
Work EnvironmentInternship setting, collaborative teams, research-focusedOffice environment, data-driven decision-making teams
Employer & Industry UsageTech companies, startups, research institutionsBusiness, finance, healthcare, marketing sectors

Internship Edge Ai Machine Learning roles typically focus on foundational skills in AI and machine learning, often as entry-level or internship positions. Data Analysts work across various industries analyzing data to inform business decisions. While both roles involve working with data, AI internships emphasize machine learning models, whereas Data Analysts focus on data interpretation and reporting.

What types of projects can I expect to work on during an internship in edge AI and machine learning?

As an intern in Edge AI and Machine Learning, you will likely work on projects that involve developing and optimizing machine learning models for deployment on edge devices such as smartphones, IoT sensors, or embedded systems. Typical tasks include data preprocessing, model training and evaluation, and implementing algorithms with resource constraints in mind. You may also collaborate with hardware engineers and software developers to ensure that your solutions run efficiently on limited hardware. This hands-on experience provides a strong foundation for understanding real-world AI deployment challenges and can open doors to more advanced roles in the future.
What are the most commonly searched types of Edge Ai Machine Learning jobs in Minnesota? The most popular types of Edge Ai Machine Learning jobs in Minnesota are:
What are popular job titles related to Internship Edge Ai Machine Learning jobs in Minnesota? For Internship Edge Ai Machine Learning jobs in Minnesota, the most frequently searched job titles are:
What cities in Minnesota are hiring for Internship Edge Ai Machine Learning jobs? Cities in Minnesota with the most Internship Edge Ai Machine Learning job openings:

Machine Learning Engineer

Tennant Company

Golden Valley, MN • Hybrid

$119K - $122K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 3 days ago


Tennant Company rating

7.8

Company rating: 7.8 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

210th of 487 rated machine equipment manufacturers


Job description

With more than $1B in revenue, Tennant Company is a globally recognized leader in the cleaning equipment industry. For the past 150 years, we have been passionate about developing and manufacturing innovative and sustainable solutions for our customers. At Tennant Company, we are committed to stewardship and creating a cleaner, safer and healthier world. With manufacturing, operations and sales, service, and support functions across the globe, your journey at Tennant can take you places you never expected.

Tennant Company seeks a full-time Machine Learning Engineer based in Golden Valley, MN. Responsible for utilizing experience in emerging technologies such as Cloud computing, Big Data, Deep Machine Learning, and AI. Participates and leads phases of the data science process, from data exploration and processing, feature selection and engineering, model training and testing, and information synthesis. Req: Master's degree or equivalent in Computer Science, Data Science, Robotics, Statistics, or a related field and one (1) year of related software development experience. Must also have demonstrated experience with each of the following: 1) Utilizing experience in emerging technologies such as Cloud computing, Big Data, Deep Machine Learning, and AI, and partnering with internal stakeholders to understand business needs, capture requirements, identify and prepare key data sources, develop and deploy data driven ML solutions targeting specific business challenges. 2) Developing and maintaining NLP (Natural Language Processing) multi-class classification and predictive maintenance models. 3) Implementing knowledge of ML techniques/algorithms, including linear models, neural networks, decision trees, Bayesian techniques, clustering, and anomaly detection. 4) Working with cloud-based platforms (Azure or AWS), and Machine learning/Artificial Intelligence services such as Azure ML or AWS SageMaker. 5) Providing deep insights from business data using Power BI, Tableau or similar business intelligence tools. 6) Utilizing the following tools and technologies: Azure AI Foundry, Apache Hadoop, Spark, Kafka, HBase, Hive, Storm and managed services such as Azure HDInsight, Databricks and Azure Datafactory. All experience may have been gained concurrently. Experience may have been acquired before, during, or after completion of the Master's degree program. This is a hybrid role with required 3 days onsite. Salary: $119,642 - $122,600/year. Please apply online at https://jobs.tennantco.com/. Benefits = A comprehensive benefits package including health insurance, 401(k), disability, life insurance, paid time off, and voluntary benefits!

Total Compensation = Pay range + Benefits

Posted salary ranges are made in good faith. Tennant Sales and Service Co. reserves the right to adjust ranges depending on the experience/qualifications of the selected candidate as well as internal and external equity.  The salary range reflects both entry into the role and future growth. Total Compensation = Base Salary + Benefits

Benefits = A comprehensive benefits package including multiple medical plan options, 401(k) with a 100% match up to 6%, paid vacation time, up to 8 paid company holidays and 3 personal holidays per year, dental and vision coverage, wellness rewards, robust family support programs, companypaid disability and life insurance, and a full Employee Assistance Program.

Defining Our Employee Value Proposition   

At Tennant Company, we...  

Discover fulfilling work with opportunities for growth and meaningful recognition. 

Drive the quality and innovation our customers rely on in our products and services. 

Connect with people who care about each other, our brands and our communities.

These are the principles that define how our employees experience Tennant Company, make Tennant a great place to grow your career, and are at the core of our legacy and future.Together, they serve as guideposts for working with our customers, our partners and one another.

Begin your journey with us. Let's reinvent how the world cleans.  

Equal Opportunity Employer

Tennant Company is an equal opportunity employer. Employment decisions are made on the basis of individual skill, ability, reliability, productivity, and other factors important to performance. We do not discriminate on the basis of race, color, creed, religion, sex, national origin, physical or mental disability, age, veteran status, pregnancy, sexual orientation, genetic information, gender identity, or any other basis protected by state or federal law or local ordinance.


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